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ORCIDRyan G. Benton
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- affiliation: University of South Alabama, USA
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2020 – today
- 2024
[j10]Dhanasak Bhumichai
, Christos Smiliotopoulos, Ryan Benton, Georgios Kambourakis, Dimitrios Damopoulos:
The Convergence of Artificial Intelligence and Blockchain: The State of Play and the Road Ahead. Inf. 15(5): 268 (2024)- [c56]Aleise H. McGowan, Scott M. Sittig, Ryan G. Benton, David M. Bourrie, M. Sriram Iyengar, Aysu Dalogullari:
Designing for diversity: Dynamic persuasive strategies in mHealth app development. BCSS 2024: 83-97 - [c55]Dhanasak Bhumichai, Ryan G. Benton:
The Evaluation of Extracted Features for Detecting Eclipse Attacks on Ethereum Network Layers. IEEE Big Data 2024: 5551-5560 - 2022
- [c54]Tom Johnsten, Aishwarya Prakash, Grant T. Daly, Ryan G. Benton, Tristan Clark:
Computational framework for generating synthetic signal peptides. BCB 2022: 30:1-30:7 - 2021
- [j9]Dustin Mink, Jeffrey Todd McDonald, Sikha Bagui, William Bradley Glisson, Jordan Shropshire, Ryan Benton, Samuel H. Russ:
Near-Real-Time IDS for the U.S. FAA's NextGen ADS-B. Big Data Cogn. Comput. 5(2): 27 (2021) - [c53]Blake A. Johns, Ryan G. Benton, Tom Johnsten, David M. Bourrie:
RARE: Rare Action Rule Exploration. IEEE BigData 2021: 2603-2610 - [c52]Joshua Hightower, William Bradley Glisson, Ryan Benton, Jeffrey Todd McDonald:
Classifying Android Applications Via System Stats. IEEE BigData 2021: 5388-5394 - [c51]Alberto Alejandro Ceballos Delgado, William Bradley Glisson, Narasimha K. Shashidhar, Jeffrey Todd McDonald, George Grispos, Ryan Benton:
Deception Detection Using Machine Learning. HICSS 2021: 1-10 - [c50]Jeffrey Todd McDonald, Nathan Herron, William Bradley Glisson, Ryan Benton:
Machine Learning-Based Android Malware Detection Using Manifest Permissions. HICSS 2021: 1-10 - [c49]Thomas Watts, Ryan Benton, Jordan Shropshire, David Bourrie:
Insight from a Containerized Kubernetes Workload Introspection. HICSS 2021: 1-10 - 2020
- [j8]Edward Harshany, Ryan Benton, David Bourrie, William Bradley Glisson:
Big Data Forensics: Hadoop 3.2.0 Reconstruction. Digit. Investig. 32 Supplement: 300909 (2020) - [j7]Jian Li, Zelin Zhang, Shengyu Li, Ryan Benton, Yulong Huang, Mohan Vamsi Kasukurthi, Dongqi Li, Jingwei Lin, Glen M. Borchert, Shaobo Tan, Gang Li, Bin Ma, Meihong Yang, Jingshan Huang:
A partial encryption algorithm for medical images based on quick response code and reversible data hiding technology. BMC Medical Informatics Decis. Mak. 20-S(14): 297 (2020) - [j6]Bin Ma, Zhaolong Wu, Shengyu Li, Ryan Benton, Dongqi Li, Yulong Huang, Mohan Vamsi Kasukurthi, Jingwei Lin, Glen M. Borchert, Shaobo Tan, Gang Li, Meihong Yang, Jingshan Huang:
Development of a support vector machine learning and smart phone Internet of Things-based architecture for real-time sleep apnea diagnosis. BMC Medical Informatics Decis. Mak. 20-S(14): 298 (2020) - [c48]Edward Harshany, Ryan Benton, David Bourrie, Michael Black, William Bradley Glisson:
DFS3: automated distributed file system storage state reconstruction. ARES 2020: 43:1-43:10 - [c47]Suresh K. Choubey, Ryan Benton, Tom Johnsten:
Dynamic Thresholding Leading to Optimal Inventory Maintenance. IEEE BigData 2020: 4112-4121 - [c46]Wyatt Green, Tom Johnsten, Ryan G. Benton:
TADS: Transformation of Anomalies in Data Streams. IEEE BigData 2020: 4284-4292 - [c45]Alec Austin, Ryan Benton:
Effects of Missing Members on Classifier Ensemble Accuracy. IEEE BigData 2020: 4998-5006 - [c44]Jordan Shropshire, Ryan Benton:
Container and VM Visualization for Rapid Forensic Analysis. HICSS 2020: 1-10 - [c43]CScott Brown, Ryan G. Benton:
Decision Surfaces of Localized Classifiers. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [j5]Bin Ma, Chunxiao Li, Zhaolong Wu, Yulong Huang, Ada Chaeli van der Zijp-Tan, Shaobo Tan, Dongqi Li, Ada Fong, Chandan Basetty, Glen M. Borchert, Ryan Benton, Bin Wu, Jingshan Huang:
Muscle fatigue detection and treatment system driven by internet of things. BMC Medical Informatics Decis. Mak. 19-S(7): 275 (2019) - [j4]Robinette Renner, Shengyu Li, Yulong Huang, Ada Chaeli van der Zijp-Tan, Shaobo Tan, Dongqi Li, Mohan Vamsi Kasukurthi, Ryan Benton, Glen M. Borchert, Jingshan Huang, Guoqian Jiang:
Using an artificial neural network to map cancer common data elements to the biomedical research integrated domain group model in a semi-automated manner. BMC Medical Informatics Decis. Mak. 19-S(7): 276 (2019) - [c42]Patrick Luckett, Thomas Watts, Jeffrey Todd McDonald, Lee M. Hively, Ryan Benton:
A Deep Learning Approach to Phase-Space Analysis for Seizure Detection. BCB 2019: 190-196 - [c41]CScott Brown, Ryan G. Benton:
Local Gaussian Process Features for Clinical Sensor Time Series. BIBM 2019: 1288-1295 - [c40]Mohan Vamsi Kasukurthi, Shengyu Li, Glen M. Borchert, Jingshan Huang, Dihua Zhang, Mika Housevera, Yulong Huang, Shaobo Tan, Bin Ma, Dongqi Li, Ryan Benton, Jingwei Lin:
SURFr: Algorithm for identification and analysis of ncRNA-derived RNAs. BIBM 2019: 1504-1507 - [c39]Jian Li, Shaobo Tan, Bin Ma, Meihong Yang, Jingshan Huang, Zelin Zhang, Shengyu Li, Ryan Benton, Yulong Huang, Mohan Vamsi Kasukurthi, Dongqi Li, Jingwei Lin, Glen M. Borchert:
Reversible Data Hiding Based Key Region Protection Method in Medical Images. BIBM 2019: 1526-1530 - [c38]Bin Ma, Shaobo Tan, Meihong Yang, Jingshan Huang, Zhaolong Wu, Shengyu Li, Ryan Benton, Dongqi Li, Yulong Huang, Mohan Vamsi Kasukurthi, Jingwei Lin, Glen M. Borchert:
A SVM-Based Algorithm to Diagnose Sleep Apnea. BIBM 2019: 1556-1560 - [c37]Guanyi Yang, Ryan Benton, Glen M. Borchert, Bin Ma, Jingshan Huang, Xiuyu Leng, Fangwan Huang, Mohan Vamsi Kasukurthi, Yulong Huang, Dongqi Li, Jingwei Lin, Shaobo Tan, Guiying Lu:
Use CPET data to predict the intervention effect of aerobic exercise on young hypertensive patients. BIBM 2019: 1699-1702 - [c36]Jay Lewis, Ryan G. Benton, David Bourrie, Jennifer Lavergne:
Enhancing Itemset Tree Rules and Performance. IEEE BigData 2019: 1143-1150 - [c35]Suresh K. Choubey, Ryan G. Benton, Tom Johnsten:
Prescriptive Equipment Maintenance: A Framework. IEEE BigData 2019: 4366-4374 - [c34]Tom Johnsten, Wyatt Green, Lowell Crook, Ho Yin Chan, Ryan G. Benton, David M. Bourrie:
Discovery of Action Rules for Continuously Valued Data. CogMI 2019: 127-135 - [c33]Aviv Segev, Rituparna Datta, Ryan Benton, Dorothy Curtis:
OINNIONN: outward inward neural network and inward outward neural network evolution. GECCO (Companion) 2019: 79-80 - [c32]Thomas Watts, Ryan Benton, William Bradley Glisson, Jordan Shropshire:
Insight from a Docker Container Introspection. HICSS 2019: 1-10 - 2018
- [j3]Patrick Luckett, Jeffrey Todd McDonald, William Bradley Glisson, Ryan Benton, Joel A. Dawson, Blair A. Doyle:
Identifying stealth malware using CPU power consumption and learning algorithms. J. Comput. Secur. 26(5): 589-613 (2018) - [c31]Adam M. Gautier, Todd R. Andel, Ryan Benton:
On-Device Detection via Anomalous Environmental Factors. SSPREW@ACSAC 2018: 5:1-5:8 - [c30]Robinette Renner, Shengyu Li, Yulong Huang, Shaobo Tan, Dongqi Li, Ada Chaeli van der Zijp-Tan, Ryan Benton, Glen M. Borchert, Jingshan Huang, Guoqian Jiang:
Mapping Common Data Elements to a Domain Model Using an Artificial Neural Network. BIBM 2018: 1532-1535 - [c29]Grant T. Daly, Ryan Benton, Tom Johnsten:
A Multi-Objective Evolutionary Action Rule Mining Method. CEC 2018: 1-8 - [c28]Colby Parker, Jeffrey Todd McDonald, Tom Johnsten, Ryan G. Benton:
Android Malware Detection Using Step-Size Based Multi-layered Vector Space Models. MALWARE 2018: 49-58 - 2017
- [c27]Maureen Van Devender, William Bradley Glisson, Ryan Benton, George Grispos:
Understanding De-identification of Healthcare Big Data. AMCIS 2017 - [c26]Murali K. Pusala, Ryan G. Benton, Vijay V. Raghavan, Raju N. Gottumukkala:
Supervised approach to rank predicted links using interestingness measures. BIBM 2017: 1085-1092 - [c25]Shaaban Abbady, Cheng-Yuan Ke, Jennifer Lavergne, Jian Chen, Vijay V. Raghavan, Ryan Benton:
Online mining for association rules and collective anomalies in data streams. IEEE BigData 2017: 2370-2379 - [c24]Satya Katragadda, Ryan G. Benton, Vijay V. Raghavan:
Framework for Real-Time Event Detection using Multiple Social Media Sources. HICSS 2017: 1-10 - [c23]Satya Katragadda, Ryan G. Benton, Vijay V. Raghavan:
Sub-event detection from tweets. IJCNN 2017: 2128-2135 - [c22]Dustin Mink, William Bradley Glisson, Ryan Benton, Kim-Kwang Raymond Choo:
Manipulating the Five V's in the Next Generation Air Transportation System. ATCS/SePrIoT@SecureComm 2017: 271-282 - 2016
- [c21]Satya Katragadda, Shahid Virani, Ryan G. Benton, Vijay V. Raghavan:
Detection of event onset using Twitter. IJCNN 2016: 1539-1546 - 2015
- [j2]Tom Johnsten, Laura Fain, Leanna Fain, Ryan G. Benton, Ethan Butler, Lewis Pannell, Ming Tan:
Exploiting multi-layered vector spaces for signal peptide detection. Int. J. Data Min. Bioinform. 13(2): 141-157 (2015) - [c20]Satya Katragadda, Harika Karnati, Murali Pusala, Vijay V. Raghavan, Ryan G. Benton:
Detecting adverse drug effects using link classification on twitter data. BIBM 2015: 675-679 - [c19]Sonya H. Y. Hsu, Ryan Benton, Raju N. Gottumukkala:
Real-Time Flu Monitoring System and Decision Informatics. HICSS 2015: 2794-2803 - 2013
- [j1]Murat Seckin Ayhan, Ryan G. Benton, Vijay V. Raghavan, Suresh K. Choubey:
Exploitation of 3D stereotactic surface projection for predictive modelling of Alzheimer's disease. Int. J. Data Min. Bioinform. 7(2): 146-165 (2013) - [c18]Murat Seckin Ayhan, Ryan G. Benton, Vijay V. Raghavan, Suresh K. Choubey:
Composite Kernels for Automatic Relevance Determination in Computerized Diagnosis of Alzheimer's Disease. Brain and Health Informatics 2013: 126-137 - [c17]Ryan G. Benton, Suresh K. Choubey, David G. Clark, Tom Johnsten, Vijay V. Raghavan:
Diagnosis and Grading of Alzheimer's Disease via Automatic Classification of FDG-PET Scans. Brain and Health Informatics 2013: 266-276 - [c16]Tom Johnsten, Samy Alihamad, Ashwin Kannalath, Ryan G. Benton:
Targeted Action Rule Discovery. ICMLA (1) 2013: 348-353 - [c15]Vijay V. Raghavan, Ryan G. Benton, Tom Johnsten, Ying Xie:
Representations for Large-Scale Sequence Data Mining: A Tale of Two Vector Space Models. RSFDGrC 2013: 15-25 - [c14]Jennifer Lavergne, Ryan G. Benton, Vijay V. Raghavan, Alaaeldin M. Hafez:
DynTARM: An In-Memory Data Structure for Targeted Strong and Rare Association Rule Mining over Time-Varying Domains. Web Intelligence 2013: 298-306 - 2012
- [c13]Murat Seckin Ayhan, Ryan G. Benton, Vijay V. Raghavan, Suresh K. Choubey:
Utilization of domain-knowledge for simplicity and comprehensibility in predictive modeling of Alzheimer's disease. BIBM Workshops 2012: 265-272 - [c12]Jennifer Lavergne, Ryan G. Benton, Vijay V. Raghavan:
Min-Max Itemset Trees for Dense and Categorical Datasets. ISMIS 2012: 51-60 - [c11]Jennifer Lavergne, Ryan G. Benton, Vijay V. Raghavan:
TRARM-RelSup: Targeted Rare Association Rule Mining Using Itemset Trees and the Relative Support Measure. ISMIS 2012: 61-70 - 2011
- [c10]Can Akkoç, Tom Johnsten, Ryan G. Benton:
Multi-layered Vector Spaces for Classifying and Analyzing Biological Sequences. BICoB 2011: 160-166 - [c9]Djellel Eddine Difallah, Ryan G. Benton, Vijay V. Raghavan, Tom Johnsten:
FAARM: Frequent Association Action Rules Mining Using FP-Tree. ICDM Workshops 2011: 398-404 - 2010
- [c8]Murat Seckin Ayhan, Ryan G. Benton, Vijay V. Raghavan, Suresh K. Choubey:
Exploitation of 3D Stereotactic Surface Projection for automated classification of Alzheimer's disease according to dementia levels. BIBM 2010: 516-519 - [c7]Blake Lemoine, Sara Rayburn, Ryan G. Benton:
Data Fusion and Feature Selection for Alzheimer's Diagnosis. Brain Informatics 2010: 320-327
2000 – 2009
- 2007
- [c6]Mores Prachyabrued, Timothy Roden, Ryan G. Benton:
Procedural generation of stylized 2D maps. Advances in Computer Entertainment Technology 2007: 147-150 - 2006
- [c5]Ryan Gene Benton, Chee-Hung Henry Chu:
Camera Pose Estimation by an Artificial Neural Network. ICONIP (2) 2006: 604-611 - 2005
- [c4]Ryan G. Benton, Henry Chu:
Soft computing approach to steganalysis of LSB embedding in digital images. ITRE 2005: 105-109 - 2004
- [c3]Surendra Karnatapu, Karthik Ramachandran, Zonghuan Wu, Biren Shah, Vijay V. Raghavan, Ryan G. Benton:
Estimating Size of Search Engines in an Uncooperative Environment. Workshop on Web-based Support Systems 2004: 81-87 - 2000
- [c2]Ryan G. Benton, Miroslav Kubat, Rasiah Loganantharaj:
Meta-classifiers and Selective Superiority. IEA/AIE 2000: 434-442
1990 – 1999
- 1995
- [c1]Ryan Gene Benton:
Using genetic algorithms to improve interpretation of satellite data. ACM Southeast Regional Conference 1995: 143-145
Coauthor Index
aka: William Bradley Glisson
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